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Preconference Workshops

Visit the registration page to see how to register for a preconference workshop.

Saturday, May 3

PR1: Faculty for Tomorrow Workshop for Residents
Time: 8 am–5 pm

This full-day preconference workshop, presented by the STFM Graduate Medical Education Committee, is for residents and fellows who are interested in careers in academic family medicine. The workshop will include inspiring stories from academic family medicine leaders, breakout sessions on key teaching and academic skills, an interactive leadership training session, and a session on the nuts and bolts of academic career tracks and promotion. Get the knowledge and skills you need to succeed and thrive as new faculty.

A diverse group of faculty will give behind-the-scenes insights into academic roles in sessions like "What You Might Not Know About Careers in Academic Medicine." Sessions also include targeted discussion on "Giving Feedback," "Finding Your Job in Academia", and "Success as a New Faculty Member"; then learn how to lead change in every setting in "The Physician as Leader."

Fee: $50; Includes refreshments, training materials, CME; breakfast and lunch is not provided.

Attendance Limit: 100


Saturday, May 3

PR2: Generative AI Bootcamp for Family Medicine Clinician Educators, Scholars, and Learners
Time: 1–5 pm


Harnessing the power of artificial intelligence (AI) and machine learning (ML)—especially generative AI—is rapidly becoming essential for driving advancements in medical education and quality improvement. The number of publications on AI in medical education has surged by over 400% in recent years, and more than 90% of health care organizations are already using AI. This workshop welcomes family medicine clinician educators, scholars, and learners at all levels of AI/ML knowledge, offering practical insights and skills that can be immediately applied in their work. Participants will delve into essential topics such as AI/ML fundamentals, the unique potential of generative AI tools, prompt engineering techniques, and working with large language models (LLMs) like ChatGPT and Gemini. Whether you're new to AI/ML or looking to deepen your expertise, this bootcamp will bridge the gap between theory and practice through interactive sessions, hands-on case-based activities, and collaborative discussions. The content is designed to be accessible and relevant, as well as highly interactive. Join us to enhance your knowledge and contribute to the future of innovation in family medicine education and scholarship.

Fee: $150; Includes refreshments, training materials, CME; lunch is not provided.

Attendance Limit: 150


Saturday, May 3

PR3: CBME Intensive: Create Your Program’s Personalized CBME Implementation Roadmap With the STFM CBME Task Force
Time: 1–5 pm

Fluency in competency-based medical education (CBME) is increasingly necessary for the smooth administration of family medicine residency programs and successful graduation of their trainees. Since CBME concepts are foundational in both new ACGME residency programs and ABFM graduate outcome requirements, the STFM CBME Task Force has been developing and compiling resources for programs in the form of a toolkit. However, in presenting these resources, another gap surfaced: the lack of implementation methods and frameworks. Programs may have resources, but they do not know where to start or how to sequence their CBME work. This four-hour hands-on workshop will address this gap, providing participants with an analysis of their own program’s gaps followed by five skill building sessions in foundational CBME areas including assessments, ILPs, coaching, resident engagement, and faculty development. The training will be provided by the members of the STFM CBME Task Force who have been intensively teaching about CBME over the past year and are uniquely positioned to help programs. Attendees will leave the preconference feeling caught up concerning CBME with a practical Implementation Road Map individualized for their own program.

Fluency in competency-based medical education (CBME) is increasingly necessary for the smooth administration of family medicine residency programs and successful graduation of their trainees. Since CBME concepts are foundational in both new ACGME residency programs and ABFM graduate outcome requirements, the STFM CBME Task Force has been developing and compiling resources for programs in the form of a toolkit. However, in presenting these resources, another gap surfaced: the lack of implementation methods and frameworks. Programs may have resources, but they do not know where to start or how to sequence their CBME work. This four-hour hands-on workshop will address this gap, providing participants with an analysis of their own program’s gaps followed by five skill building sessions in foundational CBME areas including assessments, ILPs, coaching, resident engagement, and faculty development. The training will be provided by the members of the STFM CBME Task Force who have been intensively teaching about CBME over the past year and are uniquely positioned to help programs. Attendees will leave the preconference feeling caught up concerning CBME with a practical Implementation Road Map individualized for their own program.

Fee: $150; Includes refreshments, training materials, CME; lunch is not provided.

Attendance Limit: 60

Questions?

If you have questions about the Annual Spring Conference, contact (800) 274-7928 or email stfmoffice@stfm.org. 

Contact Us

 

11400 Tomahawk Creek Parkway

Leawood, KS 66211

(800) 274-7928

stfmoffice@stfm.org 

 

 

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AI Chatbot Tips

Tips for Using STFM's AI Assistant

STFM's AI Assistant is designed to help you find information and answers about Family Medicine education. While it's a powerful tool, getting the best results depends on how you phrase your questions. Here's how to make the most of your interactions:

1. Avoid Ambiguous Language

Be Clear and Specific: Use precise terms and avoid vague words like "it" or "that" without clear references.

Example:
Instead of: "Can you help me with that?"
Try: "Can you help me update our Family Medicine clerkship curriculum?"
Why this is important: Ambiguous language can confuse the AI, leading to irrelevant or unclear responses. Clear references help the chatbot understand exactly what you're asking.

2. Use Specific Terms

Identify the Subject Clearly: Clearly state the subject or area you need information about.

Example:
Instead of: "What resources does STFM provide?"
Try: "I'm a new program coordinator for a Family Medicine clerkship. What STFM resources are available to help me design or update clerkship curricula?"
Why this is better: Providing details about your role ("program coordinator") and your goal ("design or update clerkship curricula") gives the chatbot enough context to offer more targeted information.

3. Don't Assume the AI Knows Everything

Provide Necessary Details:The STFM AI Assistant has been trained on STFM's business and resources. The AI can only use the information you provide or that it has been trained on.

Example:
Instead of: "How can I improve my program?"
Try: "As a program coordinator for a Family Medicine clerkship, what resources does STFM provide to help me improve student engagement and learning outcomes?"
Why this is important: Including relevant details helps the AI understand your specific situation, leading to more accurate and useful responses.

4. Reset if You Change Topics

Clear Chat History When Switching Topics:

If you move to a completely new topic and the chatbot doesn't recognize the change, click the Clear Chat History button and restate your question.
Note: Clearing your chat history removes all previous context from the chatbot's memory.
Why this is important: Resetting ensures the AI does not carry over irrelevant information, which could lead to confusion or inaccurate answers.

5. Provide Enough Context

Include Background Information: The more context you provide, the better the chatbot can understand and respond to your question.

Example:
Instead of: "What are the best practices?"
Try: "In the context of Family Medicine education, what are the best practices for integrating clinical simulations into the curriculum?"
Why this is important: Specific goals, constraints, or preferences allow the AI to tailor its responses to your unique needs.

6. Ask One Question at a Time

Break Down Complex Queries: If you have multiple questions, ask them separately.

Example:
Instead of: "What are the requirements for faculty development, how do I register for conferences, and what grants are available?"
Try: Start with "What are the faculty development requirements for Family Medicine educators?" Then follow up with your other questions after receiving the response.
Why this is important: This approach ensures each question gets full attention and a complete answer.

Examples of Good vs. Bad Prompts

Bad Prompt

"What type of membership is best for me?"

Why it's bad: The AI Chat Assistant has no information about your background or needs.

Good Prompt

"I'm the chair of the Department of Family Medicine at a major university, and I plan to retire next year. I'd like to stay involved with Family Medicine education. What type of membership is best for me?"

Why it's good: The AI Chat Assistant knows your role, your future plans, and your interest in staying involved, enabling it to provide more relevant advice.

Double Check Important Information

While the AI Chat Assistant is a helpful tool, it can still produce inaccurate or incomplete responses. Always verify critical information with reliable sources or colleagues before taking action.

Technical Limitations

The Chat Assistant:

  • Cannot access external websites or open links
  • Cannot process or view images
  • Cannot make changes to STFM systems or process transactions
  • Cannot access real-time information (like your STFM Member Profile information)

STFM AI Assistant
Disclaimer: The STFM Assistant can make mistakes. Check important information.